Triple
T25447522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi–Karachi |
E637676
|
entity |
| Predicate | terminusAirport2 |
P99942
|
FINISHED |
| Object | Karachi |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Karachi | Statement: [Nairobi–Karachi, terminusAirport2, Karachi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusAirport2 Context triple: [Nairobi–Karachi, terminusAirport2, Karachi]
-
A.
terminusAAirport
chosen
Indicates that an airport serves as the terminal (end) point for a specified air route or service.
-
B.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
C.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
D.
terminusCitySouthwest
Indicates that the terminus (end point) of something is located to the southwest of a specified city.
-
E.
nearbyAirportTerminal
Indicates that one airport terminal is located close to another airport terminal in physical space.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 2:02 p.m.